Nonlinear Image Processing (Communications, Networking and Multimedia)

This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.

• Presents the latest developments in a variety of filter design techniques and algorithms
• Contains essential information for development of Human Vision Systems (HVS)
• Provides foundations for digital imaging and image capture technology

"The book considers the following filter families, with varying emphasis, according to popularity and impact in image processing tasks:

• honomorphic filters, relying on a generalized superposition principle


• nonlinear mean filters, using nonlinear definitions of means


• morphological filters, based on geometrical rather than analytical properties


• order statistics filters, based on ordering properties of the input samples


• polynomial filters, using polynomial expressions in the input and output samples


• fuzzy filters, applying fuzzy reasoning to model the uncertainty typical of some image processing issues


• nonlinear operations modeled in terms of nonlinear partial differential equations."

--IEEE SIGNAL PROCESSING MAGAZINE, January 2001